Performance-based health monitoring, diagnostics and prognostics for condition-based maintenance of gas turbines: A review

M Tahan, E Tsoutsanis, M Muhammad, ZAA Karim - Applied energy, 2017 - Elsevier
With the privatization and intense competition that characterize the volatile energy sector,
the gas turbine industry currently faces new challenges of increasing operational flexibility …

A review on gas turbine gas-path diagnostics: State-of-the-art methods, challenges and opportunities

AD Fentaye, AT Baheta, SI Gilani, KG Kyprianidis - Aerospace, 2019 - mdpi.com
Gas-path diagnostics is an essential part of gas turbine (GT) condition-based maintenance
(CBM). There exists extensive literature on GT gas-path diagnostics and a variety of …

[HTML][HTML] Gas turbine engine transient performance and heat transfer effect modelling: A comprehensive review, research challenges, and exploring the future

Y Yang, T Nikolaidis, S Jafari, P Pilidis - Applied Thermal Engineering, 2023 - Elsevier
Gas turbine transient simulation is an important tool in analysing engine performance during
changes in operating conditions. This paper provides a comprehensive review of the …

A hybrid model of an artificial neural network with thermodynamic model for system diagnosis of electrical power plant gas turbine

M Talaat, MH Gobran, M Wasfi - Engineering Applications of Artificial …, 2018 - Elsevier
In this paper, the diagnosis system of power plant gas turbine has been developed to detect
the deterioration of engine performance. This system can be analyzed the gas path …

Nox emission estimation in gas turbines via interpretable neural network observer with adjustable intermediate layer considering ambient and boundary conditions

D Huang, S Tang, D Zhou, J Hao - Measurement, 2022 - Elsevier
Abstract Nitrogen Oxides (NOx) emission is an inevitable concomitant process of gas
turbines operating in industrial scenes. Most of the existing NOx estimation methods have …

[HTML][HTML] Fault diagnosis of an industrial gas turbine based on the thermodynamic model coupled with a multi feedforward artificial neural networks

A Alblawi - Energy Reports, 2020 - Elsevier
In the study presented in this paper, the deterioration in the performance of an industrial gas
turbine during the operation design point was simulated by using the thermodynamic …

Review of Methods for Diagnosing the Degradation Process in Power Units Cooperating with Renewable Energy Sources Using Artificial Intelligence

P Ziółkowski, M Drosińska-Komor, J Głuch, Ł Breńkacz - Energies, 2023 - mdpi.com
This work is based on a literature review (191). It mainly refers to two diagnostic methods
based on artificial intelligence. This review presents new possibilities for using genetic …

Experimental Analysis of Training Parameters Combination of ANN Backpropagation for Climate Classification.

H Suprajitno - Mathematical Modelling of Engineering …, 2022 - search.ebscohost.com
Abstract Artificial Neural Networks are widely used in prediction activities and classification
processes. However, the implementation on average only uses a network architecture with …

Artificial neural networks and physical modeling for determination of baseline consumption of CHP plants

F Rossi, D Velázquez, I Monedero, F Biscarri - Expert Systems with …, 2014 - Elsevier
An effective modeling technique is proposed for determining baseline energy consumption
in the industry. A CHP plant is considered in the study that was subjected to a retrofit, which …

[图书][B] Gas turbines modeling, simulation, and control: using artificial neural networks

H Asgari, XQ Chen - 2015 - books.google.com
Gas Turbines Modeling, Simulation, and Control: Using Artificial Neural Networks provides
new approaches and novel solutions to the modeling, simulation, and control of gas turbines …